Fuzzy Clustering Based Routing in Wireless Body Area Networks to Increase the Life of Sensor Nodes

Subject Areas : Networking Technologies

Mohsen Abdollahzadeh Aghbolagh ¹ , Mohammad Ali Pourmina ²

1 - Islamic Azad University North Tehran Branch
2 - Department of electrical and computer engineering ,sciences and reseach branch Tehran Iran

Received: 2018-01-19 Accepted : 2018-09-19 Published : 2018-08-01

Keywords:

References:

[1]     Gonzalez, S., Vasilakos, A., Cao, H., Victor, C. and Leung, M., 2011, Body Area Networks : A Survey.  Mobile Network Applications,16, pp.171–193.
[2]     Challal, Y., Heudiasyc, A. and Bouabdallah F., 2014, Energy efficiency in wireless sensor networks: A top-down survey. Computer Networks, 67, pp.104–122.  
[3]     Cavallari, R., Buratti, C., 2014, A Survey on Wireless Body Area Networks: Technologies and Design Challenges. IEEE COMMUNICATIONS SURVEYS & TUTORIALS, 16, Issue 3, pp. 1635 - 1657.
[4]     Noorzaie, I., 2006, Survey paper: Medical applications of wireless networks , Doi: http://www.cs.wustl.edu/~jain/cse574.
[5]     Huang, X. and Fang Y., 2008, Multiconstrained QoS multipath routing in wireless sensor networks. Wireless Networks,14, pp.465–478.
[6]     Bangash, J.l., Abdullah, A. H.,  Anisi, M. H. and Waheed Khan A., 2014, A Survey of Routing Protocols in Wireless Body Sensor Networks, Sensors, 14, pp.1322-1357.
[7]      Aslam Khan, Z., Sivakumar, N. and Phillips, S., 2012, Energy-aware peering routing protocol for indoor hospital body area network communication. Procedia Computer Scirnce, 10, pp.188–196.38.
[8]      Culpepper, B.J., Dung, L. and Moh, M., 2005, Design and analysis of Hybrid Indirect Transmissions (HIT) for data gathering in wireless micro sensor networks. ACM SIGMOBILE Mobile Comput.
[9]     Tanvir, Md., Ishtaique, ul., Kumudu, H., Munasinghe, S. and Abolhasan, M., 2013, EAR-BAN: Energy efficient adaptive routing in Wireless Body Area Networks. In 7th International Conference on Signal Processing and Communication Systems (ICSPCS2013 ), Pages: 1 - 10.
[10]    Alim, Md. A., Wu, Y. and Wang, W., 2013, A Fuzzy Based Clustering Protocol for Energy-efficient Wireless Sensor Networks. In Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013), pp.2874-2878.
[11]    Javaid, N., Abbas, Z., Fareed, M. S., Khan, Z. A. and Alrajeh, N., M-ATTEMPT: A New Energy-Efficient Routing Protocol for Wireless Body Area Sensor Networks, IN The 4th International Conference on Ambient Systems, Networks and Technologies
(ANT 2013), Procedia Computer Science, vol.19, pp.224 – 231.
[12]    ul Huque, M. T. I., Munasinghe, K. S., Abolhasan, M. and A. Jamalipour, 2013, SEA-BAN:  Semi-Autonomous  Adaptive  Routing  in  Wireless  Body  Area  Networks.  In 7th International Conference on Signal Processing and Communication Systems (ICSPCS), 2013.
[13]    Ning, T. P., Michael, S. and K. Vipin, 2006, Introduction to Data Mining, Pearson Addison-Wesley, chapter4.
[14]    Jun, S., Park, S. S. and Jang, D.S., 2014, Document clustering method using dimension reduction and support vector clustering to overcome sparseness. Expert Systems with Applications, 41, pp.3204–3212.
[15]    Naldia, M.C. and Campello, R.J.G.B., 2014, Evolutionary k-means for distributed data sets. Neurocomputing, 127, pp.30–42.
[16]    T.  Velmurugan, 2014, Performance  based  analysis  between  k-Means  and  Fuzzy C-Means  clustering  algorithms  for  connection  oriented telecommunication  data. Elsevier Applied  Soft  Computing, 19, pp.134–146